Bad data is costing you money.
When your data is unreliable, every business decision is a gamble. Your analytics become untrustworthy, which stalls genuine business growth.
The worst part is making critical errors in your strategy because you’re working with flawed information. This undermines your team’s hard work.
According to ZipDo Education Reports, inaccurate data leads to an average of 12% loss in revenue for organizations. This financial drain directly impacts your ability to scale.
The right data quality tool fixes this by automating your data validation. It ensures your information is consistently clean and reliable for decision-making.
While ensuring data quality, you might also be interested in ecommerce analytics tools for your online store.
In this article, I’ll review the best data quality tools to help you make an informed choice. I’ll focus on platforms that stop errors and support growth.
You’ll find solutions that integrate with your systems, reduce manual clean-up, and provide a clear return on your investment.
Let’s get started.
Quick Summary:
| # | Software | Rating | Best For |
|---|---|---|---|
| 1 | Talend → | Data quality managers, analytics leads | |
| 2 | Ataccama → | Mid-market and enterprise companies | |
| 3 | Collibra → | Mid-market and enterprise companies | |
| 4 | Informatica → | Enterprise-level organizations | |
| 5 | Soda → | Mid-market and enterprise orgs |
1. Talend
Struggling with messy data and uncertain growth?
Talend Data Fabric is your unified platform, combining data integration, quality, and governance. This means you can build a trusted data foundation for AI, ML, and analytics solutions.
It helps you overcome siloed systems by working with virtually any data source and architecture, ensuring your data is not just integrated but also reliable for critical business operations.
This is your direct path to clear, predictable value.
Talend simplifies data management, offering a low-code platform that addresses your end-to-end needs, from integration to delivery. You can deploy it on-premises, cloud, multi-cloud, or hybrid-cloud, providing the flexibility your organization needs.
This adaptability helps streamline operations and reduce integration risks. Additionally, Talend drives clear value while supporting security and compliance needs, which is crucial for risk management. Plus, with partnerships with top tech providers like AWS and Snowflake, you get even more value from your existing data environment.
The result is a streamlined process for automated, robust data validation and reduced errors.
Key features:
- Talend Data Fabric: A unified, low-code platform integrating data integration, data quality, and data governance for comprehensive data management across diverse sources.
- Flexible Deployment Options: Supports on-premises, cloud, multi-cloud, and hybrid-cloud deployments, ensuring adaptability to your existing or future IT infrastructure.
- Trusted Data Foundation: Powers AI, ML, and analytics solutions by building a reliable and secure data foundation that also supports critical compliance needs.
Talend features, pricing, & alternatives →
Verdict: For data quality managers and analytics leads seeking a solution to ensure automated, robust data validation and easy integration, Talend stands out as one of the best data quality tools. It helps streamline operations and supports long-term business growth by unifying data management, as demonstrated by customers achieving 11% revenue growth and enhancing customer engagement across 85,000 data sources.
2. Ataccama
Tired of unreliable data disrupting your business?
Ataccama ONE AI automates data quality checks, monitoring, and anomaly detection. This means you can proactively stop bad data from impacting your analytics and reporting.
It helps you address the pain of siloed, inaccurate data, ensuring your internal stakeholders get the reliable insights they expect. It fixes issues before they stop you.
Here’s how you get trusted data.
Ataccama ONE streamlines your data maturity by unifying data quality, lineage, observability, master data management, and data cataloging on a single platform. This helps you build a 360-degree view of your customer data, improve compliance, and boost operational efficiency. It consolidates and cleanses scattered data, eliminating duplicates and silos. Additionally, it offers automated data discovery and governance capabilities to support advanced use cases like governed AI and accelerate data integration for mergers and acquisitions, ensuring business continuity and reliable insights. The result is consistently accurate and available data for confident decisions.
Before diving deeper into data solutions, you might find my analysis of best CAM software helpful for different business needs.
Key features:
- Automated Data Quality: Detects, prevents, and remediates data issues through AI-powered monitoring and anomaly detection, ensuring data reliability for critical business processes.
- Unified Data Trust Platform: Combines data quality, lineage, observability, master data management, and data catalog on one platform, simplifying data governance and management at scale.
- AI-Powered Data Management: Leverages AI to automate and scale data management tasks, boosting team productivity and delivering faster, smarter insights across diverse data stacks.
Ataccama features, pricing, & alternatives →
Verdict: Ataccama ONE is a top choice among the best data quality tools, recognized by Gartner for four consecutive years. Its unified, AI-powered platform ensures automated data validation, easy integration, and effective governance for mid-market and enterprise companies, helping you achieve measurable returns and consistent data reliability.
3. Collibra
Are data errors hindering your business growth?
Collibra’s Data Quality & Observability module provides no-code, self-service rules to monitor data quality and validate data health effectively.
This means you can remediate data issues with ease, building transparency and minimizing compliance risk across your data.
It’s time to gain total data confidence.
The Collibra Platform solves this by offering a unified system for data engagement, encompassing data catalog, governance, quality, and privacy features.
You can observe data quality to support remediation, and find, understand, and access data through business-led collaboration.
Additionally, it helps you govern data by building transparency and reducing compliance risks with an integrated view, and even manage AI use cases by cataloging, assessing, and monitoring them for improved performance and reduced data risk. This approach ensures your team can achieve “data confidence™.”
The result is streamlined operations and growth.
Key features:
- Data Quality & Observability: Monitor data quality and validate data health with no-code, self-service rules for quick remediation.
- Data Governance & Lineage: Increase transparency, reduce compliance risk, and visualize data flow across your entire data ecosystem.
- AI Governance: Catalog, assess, and monitor AI use cases to ensure trusted and valuable AI while minimizing associated data risks.
Collibra features, pricing, & alternatives →
Verdict: Collibra stands out as one of the best Data Quality Tools for mid-market and enterprise companies, offering robust features like unified governance and AI oversight. With its ability to streamline data operations and achieve “data confidence™,” as seen with TELUS reducing data search hours by 83%, it directly addresses key pain points for data quality managers.
4. Informatica
Is your data holding back business growth?
Siloed legacy systems can make data unreliable for analytics and reporting, hindering your ability to make confident decisions. Informatica offers a comprehensive Intelligent Data Management Cloud to address these challenges.
This platform provides data quality and observability features, helping you establish more trust in data by ensuring its health and accuracy. This means you can stop guessing whose data is right and start delivering data your entire organization can rely on.
Unlock the true power of your data.
Informatica’s Intelligent Data Management Cloud simplifies data access and automates labor-intensive tasks, delivering trusted data for analytics and AI. This means your team can focus on strategic initiatives, not data cleanup.
You can leverage their CLAIRE AI engine for intelligent automation, boosting integration efficiency and AI-driven processes. This platform is also designed for enterprise-level scalability, global reach, and security and compliance, ensuring your data strategy supports long-term growth and measurable returns on your data investments.
It’s about streamlining operations and supporting long-term business growth with measurable returns.
Key features:
- Data Quality & Observability: Ensures data health and accuracy, helping you stop errors and establish trust in your data across the organization.
- CLAIRE AI-Powered Automation: Automates labor-intensive data management tasks, from integration to governance, and prepares your data for AI initiatives.
- Intelligent Data Management Cloud: Provides a unified, scalable platform with over 50,000 metadata-aware connections for multi-cloud and hybrid environments.
Informatica features, pricing, & alternatives →
Verdict: For data quality managers and analytics leads seeking automated, robust data validation and seamless integration, Informatica stands out as one of the best data quality tools. Its Intelligent Data Management Cloud, powered by CLAIRE AI, simplifies data management, ensures compliance, and drives better AI outcomes by delivering trusted data faster.
5. Soda
Tired of unreliable data disrupting your business?
Soda provides robust data quality checks you can embed directly into your existing data stack. This means you can prevent errors before they become costly problems.
You can streamline your data processes and improve accuracy by catching issues much earlier in your data pipelines. The result is a significant reduction in downstream data quality issues.
Here’s how to ensure trust in your data.
Soda allows you to test data at multiple points in your CI/CD and data pipelines, ensuring your colleagues have data products they can trust. Its Metrics Observability detects anomalies 70% faster and more accurately, even on historical data, with clear, explainable alerts. Additionally, collaborative data contracts turn detected anomalies into shared agreements between data producers and consumers, with flexible no-code/low-code options. Plus, you can route issue alerts to the appropriate data owners for swift resolution.
This comprehensive approach helps you proactively prevent bad data from reaching production.
Speaking of quality and improvement, if you’re also looking to enhance your communication, my article on best writing tools provides valuable insights.
Key features:
- Pipeline Testing: Embed declarative data quality checks into your existing data stack, testing data as early as possible in your pipelines to prevent downstream issues.
- Metrics Observability: Monitor data in production, raise alerts, and debug data and pipelines quickly to find the root cause of any data quality issues.
- Collaborative Contracts: Turn detected anomalies into shared data contracts between data producers and consumers, facilitating cross-team collaboration with flexible options.
Soda features, pricing, & alternatives →
Verdict: If you are seeking the best data quality tools to automate validation, ensure easy integration, and provide effective governance, Soda is an ideal choice. Its ability to detect anomalies 70% faster and facilitate collaborative contracts simplifies data management, making it suitable for mid-market and enterprise organizations focused on data reliability.
6. Alteryx
Tired of unreliable data disrupting your analytics?
Alteryx offers a unified analytics platform to build, scale, and govern your data.
This means you can cleanse, prepare, and explore your data with ease, directly addressing frustrating data quality issues.
Your path to trusted data begins here.
Alteryx helps you accelerate decisions and automate insights across your organization.
You can connect to all your data clouds seamlessly, simplifying access and ensuring governed insights without complex coding, allowing you to transform data into action faster.
Additionally, Alteryx provides AI-powered workflows and self-service analytics, featuring a drag-and-drop interface and AI-guided data automation, empowering anyone to analyze, discover, and share insights, while maintaining trust with a built-in multi-layered governance framework.
This means reliable, accurate data for everyone.
Before diving deeper into data quality, you might find my analysis of product analytics software helpful for uncovering user insights.
Key features:
- Unified Analytics Platform: Build, scale, and govern analytics in a single environment, ensuring consistent data quality and streamlined operations for your team.
- AI-Powered Workflows: Accelerate decisions and automate insights with Alteryx Copilot and Generative AI tools, transforming your raw data into actionable intelligence.
- Secure Data Access & Governance: Connect to all your cloud data platforms seamlessly, maintaining trust with a robust, multi-layered governance framework that supports IT compliance.
Alteryx features, pricing, & alternatives →
Verdict: Alteryx is one of the best data quality tools because it offers a unified, AI-powered platform for data preparation and governance, as demonstrated by DoorDash saving 25,000 hours and automating financial processes while meeting SOX compliance requirements. It streamlines operations and supports long-term business growth with measurable returns.
7. Atlan
Struggling with unreliable data for crucial analytics?
Atlan empowers modern data teams with Discovery & Catalog, Governance Access & Control, and a Data Quality Studio.
This means you can find, trust, and govern your AI-ready data to make confident business decisions without constant manual validation.
Here’s how Atlan helps.
Atlan provides a comprehensive suite for managing your data, serving as a single control plane for your entire data stack. You can search your data universe using natural language, SQL, or business context, making data discovery intuitive.
This streamlines initiatives like AI readiness and ensures data quality, which is crucial for modern analytics. For example, Atlan helps visualize column-level relationships from your data sources to BI dashboards, offering clear data lineage.
Additionally, with capabilities like Data Asset 360, Data Product Marketplace, and a Business Glossary, Atlan simplifies compliance with context-rich trust signals and role-based access controls, even integrating with tools like Slack and Jira to bring context where your team works. The result is accelerated impact analysis, reduced time to tag PII, and significant efficiency gains.
Key features:
- Discovery & Catalog acts like a “Google for your data,” allowing users to search and understand data assets using natural language or SQL for quicker insights.
- Column-Level Lineage provides visual mapping of data relationships from source to dashboard, accelerating impact analysis and improving data auditability.
- Active Data Governance builds trust through effortless compliance and context-rich trust signals, ensuring proactive data safeguarding and role-based access.
Atlan features, pricing, & alternatives →
Verdict: Atlan is an excellent choice among the best data quality tools, empowering your team to unlock your data’s full potential. With its unified control plane and robust features, including an active metadata platform, Atlan helps drive millions in business value through improved governance and self-service.
Conclusion
Still gambling with your business decisions?
I understand the challenge. Choosing the right tool in a crowded market is tough, and a wrong move can set your entire data strategy back.
What’s telling is that ZipDo Education Reports found 90% of organizations agree that improving data quality is a critical initiative. This shows a clear industry-wide mandate for fixing unreliable data before it causes more damage.
So, what’s the best choice?
From my evaluation, Talend stands out as the most robust and complete solution for ensuring automated, reliable data across your entire organization.
Its unified Data Fabric platform simplifies management, which is a key reason it’s one of the best data quality tools. Customers achieve tangible impact, like 11% revenue growth.
I strongly suggest you start a free trial of Talend to see how its unified platform can transform your operations.
You’ll finally achieve data confidence.
